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README.md

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@@ -40,6 +40,7 @@ make_regression | Generate a random regression problem.
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make_classification | Generate a random n-class classification problem. | [link](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html)
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make_low_rank_matrix | Generate a mostly low rank matrix with bell-shaped singular values. | [link](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_low_rank_matrix.html)
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make_swiss_roll | Generate a swiss roll dataset. | [link](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_swiss_roll.html)
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make_hastie_10_2 | Generates data for binary classification used in Hastie et al. |[link](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html)
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**Disclaimer**: SyntheticDatasets.jl borrows code and documentation from
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[scikit-learn](https://scikit-learn.org/stable/modules/classes.html#samples-generator) in the dataset module, but *it is not an official part

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